自然科学版
陕西师范大学学报(自然科学版)
资源与环境科学
东北黑土区小流域侵蚀产沙影响因素分析
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盛美玲1,2, 方海燕1*, 孙亚茹3, 郭敏1,2
(1 中国科学院地理科学与资源研究所 陆地水循环及地表过程重点实验室, 北京 100101;2 中国科学院大学, 北京 100049;3 黑龙江省拜泉县水务局, 黑龙江 拜泉 164700)
盛美玲,女,硕士研究生,研究方向为土壤侵蚀与水土保持。E-mail: shengml.12s@igsnrr.ac.cn
摘要:
利用东北黑土区拜泉县17个水库控制流域作为分析样本,提取水库控制流域侵蚀产沙及相关影响因子,采用相关性分析、多元线性回归分析和主成分分析等方法,开展小流域产沙及其影响因素研究。研究得出:该研究区产沙模数变异大,与流域面积相关性不显著,而在0.01水平上与流域平均坡度、最大高程、高程差和降雨侵蚀力等呈显著正相关,与水土保持因子和聚集指数呈显著负相关;构建的多因素产沙模数回归方程中,水土保持措施因子和地形起伏度2个因素对悬移质产沙模数SSY的解释度达到68.0%。流域景观水平因子、流域形态因子、地形因子和土壤可蚀性因子对流域产沙的贡献率分别为25.1%、13.8%、7.1%和26.1%,这4个主成分对SSY的解释程度为72.2%。研究表明,在东北黑土区设法减小流域坡度、高差和土地的破碎化是控制土壤侵蚀的有效办法之一。
关键词:
东北黑土区; 小流域; 侵蚀产沙; 相关分析; 主成分分析
收稿日期:
2014-04-30
中图分类号:
S157
文献标识码:
A
文章编号:
1672-4291(2015)01-0086-07doi:10.15983/j.cnki.jsnu.2015.01.412
基金项目:
国家自然科学基金资助项目(41271305,41101261)
Doi:
Analysis of factors affecting soil erosion and sediment yield at catchments in the black soil region of Northeast China
SHENG Meiling1, 2, FANG Haiyan1*, SUN Yaru3, GUO Min1,2
(1 Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 Bureau of Water Management, Baiquan, Heilongjiang, Baiquan 164700, Heilongjiang, China)
Abstract:
17 reservoir-controlled catchments in Baiquan county of the black soil region are selected, and the characteristics of soil erosion and sediment yield and their influencing factors are analyzed through correlation analysis, multiple linear regression analysis and principal component analysis (PCA) methods. The average area-specific annual sediment yield (SSY) varied obviously. Significant relation between SSY and catchment area was not found. SSY was significantly positively correlated with the mean slope (S), maximum elevation (Hmax), height difference (HD) and rainfall erosivity factor (R), and negatively correlated with the erosion control practice factor (P) and aggregation index (IA) at the 0.01 level. The main controlling factors of SSY derived from multi-factors regression were erosion control practice factor (P) and relief ratio (RR) that explained 68.0% of variance in sediment yield. PCA demonstrated that the first four components were catchment landscape level factor, catchment morphology, topography and soil erodibility factor explaining 25.1%, 13.8%, 7.1% and 26.1% for the sediment yield, respectively. The results indicate that unreasonable human activity and the degree of patch fragmentation should be reduced as far as possible and land structure should be adjusted to control soil loss of the black soil, Northeast China.
KeyWords:
the black soil region of Northeast China; small catchment; soil erosion and sediment yield; correlation analysis; principal component analysis (PCA)